Software Alternatives, Accelerators & Startups

OpenScan VS Textify

Compare OpenScan VS Textify and see what are their differences

OpenScan logo OpenScan

FOSS Document Scanner

Textify logo Textify

A small tool which allows to copy text from dialogs and controls which don’t allow it otherwise.
  • OpenScan Landing page
    Landing page //
    2023-09-01
  • Textify Landing page
    Landing page //
    2022-07-11

OpenScan videos

OpenScan Pi - 3D Scanner control interface

More videos:

  • Review - OpenScan Cloud 3D Scanning - early version
  • Review - OpenScan - Large Version

Textify videos

Textify | App Review

More videos:

  • Review - Copy text from dialog box on Windows with Textify

Category Popularity

0-100% (relative to OpenScan and Textify)
OCR
49 49%
51% 51
Tool
44 44%
56% 56
Office & Productivity
100 100%
0% 0
Image Recognition
0 0%
100% 100

User comments

Share your experience with using OpenScan and Textify. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Textify seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenScan mentions (0)

We have not tracked any mentions of OpenScan yet. Tracking of OpenScan recommendations started around Mar 2021.

Textify mentions (2)

What are some alternatives?

When comparing OpenScan and Textify, you can also consider the following products

GImageReader - gImageReader is a simple Gtk/Qt front-end to the Tesseract OCR Engine.

Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.

Adobe Scan - Scan anything into a PDF using your mobile device.

TextSniper - Instantly extract any text from your Mac's screen

Tesseract - Tesseract is an optical character recognition engine for various operating systems

dpScreenOCR - Program to recognize text on screen